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This is an interdisciplinary Specialty that features the modelling and discovery of emergent properties in complex biological systems. One of the main objectives is to relate the structure and dynamics of biological systems with their physiology and phenotypic traits through an approach that integrates theoretical models, computational analysis and empirical data. Such analysis can be conducted at any scale of biological organization, ranging from single cells to ecological systems. Contrary to the reductionist paradigm commonly used in Molecular Biology, in Systems Biology the understanding of the behaviour and evolution of complex biological systems need not necessarily be based on a detailed molecular description of the interactions between the system’s constituent parts. Therefore, we welcome Systems Biology research with or without underlying molecular mechanisms justifying the system-level description. Translation of system-level approaches into computer-aided diagnosis and treatment of disease, health-maintenance interventions, and the clinical practice are also welcome.

The scope of the section embraces a wide range of topics in systems biology, physiology, and medicine, including (but not limited to): dynamics and evolution of metabolic and gene regulatory networks, integrative and computational neuroscience, evolutionary genomics, cell dynamics, organismal development, computational biology, ecosystem dynamics, integrative and behavioural medicine, etc. The section's main focus is on analytical and computational models that are strongly supported and inspired by real biological systems and that integrate current empirical knowledge. Work presenting experimental data without a theoretical or computational modelling component will not be considered and neither will work with theoretical models only tangentially inspired by biological systems.